pytest-codspeed
locust
| pytest-codspeed | locust | |
|---|---|---|
| 6 | 60 | |
| 100 | 26,696 | |
| 2.0% | 0.7% | |
| 8.2 | 9.7 | |
| about 1 month ago | 3 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytest-codspeed
- Show HN: P99.chat – Chat for Performance Measurement
- Show HN: P99.chat – the assistant for software performance optimization
-
Ask HN: Who is hiring? (March 2025)
CodSpeed | Founding AI Engineer | On-site (Paris) / Remote (Europe) | Full-time | https://codspeed.io
We're building software performance optimization tools to optimize and measure code performance before it is deployed to production. We avoid regressions that impact UX and help developers solve their performance issues faster. We're already live and trusted by top-tier open-source project teams such as Pydantic, Ruff, and Prisma.
We’re at an exciting early stage and looking for talented engineers who share our passion for helping to enhance the performance of software used by billions, improving the software development lifecycle, and building tools we love to use ourselves.
Apply at https://codspeed.notion.site/Founding-AI-Engineer-cd1bf4fd73...
- CodSpeed – integrated CI tool for performance testing
-
Pinpoint performance regressions with CI-Integrated differential profiling
pytest-codspeed, plugin for pytest
locust
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Caching in Django
The key to successful caching is understanding your application’s bottlenecks and choosing the right caching strategy for each use case. So before doing any caching or performance improvement, track the bottlenecks using tools like django debug toolbar, django silk. You can also use locust for performance/load testing.
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Smoke, stress, spike, soak, and recovery: 5 essential load test profiles
Hi everyone!
Long time lurker, first time poster here. I'm the maintainer of Locust (https://github.com/locustio/locust), and this is the second part of my series about load testing.
Let me know what you think!
- Protegendo APIs da Esquerda para a Direita (e em td no meio do caminho) [Tradução +/- Comentada]
-
codecov gone from PyPi
I'm assuming this breaks a ton more than just my project (https://github.com/locustio/locust/actions/runs/4687344723/jobs/8315803536)
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Simple, open-source, lightweight stress tool
If, like me, AGPL isn't your cup of tea, you can look at vegeta or locust which are both MIT.
- What server to pick for a good amount of consistent traffic?
-
Load/Stress test Apache
locust if you can code
- Simple web performance testing with Selenium?
- Can I use pytest for smoke testing?
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Load Testing: An Unorthodox Guide
Agreed with a lot of the points here, like starting small with a single piece of your API, then slowly expanding your tests once you’re comfortable that you know what you’re doing.
Note that if you use the Locust framework to write your load tests in Python, it takes care of measuring and reporting the latency and throughput for you. It’s really nice.
https://locust.io/
What are some alternatives?
pytest-benchmark - pytest fixture for benchmarking code
Selenium WebDriver - A browser automation framework and ecosystem.
less_slow.py - Playing around "Less Slow" coding practices in Python, from numerical micro-kernels to coroutines, ranges, and polymorphic state machines
PyAutoGUI - A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
pyperf - Toolkit to run Python benchmarks
sixpack - Sixpack is a language-agnostic a/b-testing framework